Social worker attack knowledge representation and excavation method based on SOEKS

Abstract

The invention belongs to the technical field of network space security and discloses a social worker attack knowledge representation and excavation method based on an SOEKS. The method includes the steps that social worker knowledge representation based on the SOEKS is designed, and the social worker attack knowledge can be abstracted and shared; the relationship between neutral network excavation attack states and attack methods based on the SOEKS is established, an attack about to occur is subjected to early warning, meta-information about to be changed is subjected to early warning, and a user is reminded of defense in advance; combinations of a large quantity of meta-information and attack methods are excavated, and a new social worker attack mode is discovered. Social worker attacks are subjected to abstract knowledge representation for the first time; abstract social worker attack information based on the SOEKS is conveniently shared and subjected to experience accumulation; through mode excavation of the relationship between the social worker attack states and attack methods, attack steps can be predicted, defense weak links can be disclosed, existing defense is theoretically guided, and dependence on experience is reduced.

Description

technical field

[0001] The invention belongs to the technical field of network space security, and in particular relates to a SOEKS-based social engineering attack knowledge representation and mining method. Background technique

[0002] With the rapid development of the mobile Internet and the Internet of Things, various types of network attacks emerge in an endless stream. Among them, social engineering (hereinafter referred to as: social engineering) attack is one of the mainstream attack methods. Rely on the principles of social engineering and make full use of social engineering methods to obtain attack-related information, such as obtaining the target’s birthday, name, hobbies, and friend relationships from the personal Weibo homepage / Qzone, and then compose a targeted "dictionary" for users Crack the password, steal the account, pretend to be a friend to cheat, etc. Attack methods are constantly updated, making it impossible to defend against.

[0003] In the prior...

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